The Creative Association of Mechanical Engineering Students (CAMS) organized a technical event titled “Data Driven Dynamics” on 24th October 2025 at Room No. 4020 in the NAB Block. The session was designed to introduce students to the exciting intersection of Artificial Intelligence, Data Science, and Mechanical Engineering. The event brought together students from III B.Tech Mechanical Engineering and I B.Tech Artificial Intelligence and Data Science (AIDS) streams for a shared learning experience.
The main aim of the event was to help students understand how AI and data analytics can improve the performance of mechanical systems. It focused on predictive modelling, simulation, and optimization techniques, encouraging students to think beyond traditional engineering methods. The session also promoted interdisciplinary learning and inspired students to explore smart manufacturing and energy-efficient technologies.
The event was coordinated by Mr. D. Navaneeth Reddy, Mr. Usif Ali, Mr. N. Harsha Raghavendra, and Mr. V. Lokesh, all III-year Mechanical Engineering students. Under the guidance of Dr. D. Gowthami, Assistant Professor and CAMS Coordinator, the team ensured smooth planning and execution. Around 100 students participated actively, showing great interest and enthusiasm throughout the session.
The session included a detailed presentation followed by interactive discussions. Students learned how AI tools can be used to optimize mechanical processes, predict system failures, and improve overall efficiency. The discussions encouraged students to ask questions, share ideas, and think creatively about how data-driven approaches can solve real-world engineering problems.
Participants gained practical insights into the role of AI in mechanical engineering. They understood the importance of predictive maintenance, data-driven design, and simulation techniques. The session also sparked interest in future projects related to smart and sustainable mechanical systems. Many students expressed a desire to attend more workshops that combine AI and engineering concepts.
The organizers thanked all the participants for their active involvement and thoughtful questions. They also expressed gratitude to the faculty and student coordinators who made the event a success. The CAMS Club looks forward to organizing more such events that inspire innovation and promote collaborative learning across disciplines.
